DocumentCode :
1744642
Title :
Analysis and prediction for the growth enterprise market (GEM)
Author :
Hua, Bai ; Lam, K.P.
Author_Institution :
Manage. Sch., Tianjin Univ., China
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
36
Abstract :
To a new stock market, the growth enterprise market (GEM), two predictability analysis techniques are used to perform a predictability analysis based on daily closing prices. Two effective data preprocessing techniques are utilized to preprocess historical closing price data. On the basis of this, the profit opportunities of GEM stocks are predicted using a probabilistic neural network, and good prediction results have been obtained
Keywords :
economics; investment; management; neural nets; probability; stock markets; GEM stocks; daily closing prices; data preprocessing techniques; growth enterprise market; predictability analysis; predictability analysis techniques; probabilistic neural network; profit opportunities; stock market; Chaos; Companies; Data preprocessing; Engineering management; Neural networks; Performance analysis; Research and development management; Stock markets; Systems engineering and theory; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology, 2000. ICMIT 2000. Proceedings of the 2000 IEEE International Conference on
Print_ISBN :
0-7803-6652-2
Type :
conf
DOI :
10.1109/ICMIT.2000.917264
Filename :
917264
Link To Document :
بازگشت